NetApp is looking to develop and design an AI Data Platform built on its flagship storage operating system ONTAP, to help customers identify and realize new business possibilities.
Requirements
- Proficiency in programming languages like Python, GO, Java, C-Sharp, C/C++
- Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc
- Hands-on experience working with Rest APIs and Micro Services – Flask, API frameworks
- Experience working in Linux, AWS/Azure/GCP, Kubernetes – Control plane, Auto scaling, orchestration, containerization
- Experience with No Sql Document Databases e.g., Mongo DB, Cassandra, Cosmos DB, Document DB
- Experience working building Micro Services, REST APIs and related API frameworks
- Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems
Responsibilities
- Development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud, and on-premises AI/ML solutions
- Providing support in the development and testing activities of other engineers that involve several inter-dependencies
- Participate in technical discussions within the team and across cross-functional teams
- Working on additional tasks and responsibilities that will contribute towards team, department and company goals
- Responsible for enhancements to existing products as well as new product development
- Working as part of a team responsible for the development, testing and debugging of distributed software
- Collaborating with others and partnering across the organization to achieve goals
Other
- Typically requires a minimum of 5-7 years of related experience with a Bachelor’s degree a Master’s degree; or a PhD with relevant experience
- Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals
- Strong understanding and experience with concepts related to computer architecture, data structures and programming practices
- Ability to work in a hybrid working environment with some level of in-office and/or in-person expectations
- Commitment to Equal Employment Opportunity (EEO) and compliance with all federal, state and local laws that prohibit employment discrimination
